Saini Style Hub lifts assisted conversion by 19% with visual styling support

Entreprise

Saini Style Hub is an online fashion store with a broad, trend-led product range. Its apparel includes pieces offered across multiple sizes, colors, silhouettes, and occasions — from casual looks to party-ready styles — giving shoppers many ways to discover something new.

Contexte

Choice is useful only when a shopper can picture the outcome. Standard catalog photography shows the garment clearly, but it cannot fully answer the personal question of how a style might look on the shopper.

That hesitation grows when a style is unfamiliar. A shopper considering a fitted denim dress, for example, may want to understand the overall silhouette, compare color options, and imagine how the piece could work with items they already own. Product specifications and a size selector provide essential facts, but they do not make the styling decision feel tangible.

Saini Style Hub needed a way to reduce visual uncertainty while still being clear about what the experience could — and could not — tell the shopper. The goal was confidence in the look, not a promise of exact fit.

Confidence in the look, not a promise of exact fit — the line the whole experience is built around.

Solution

BuyScout added an interactive styling layer directly to the shopping journey. With virtual try-on, shoppers can upload a photo and generate a visual preview of a selected garment on that image. The experience helps them explore a look using a familiar body and pose instead of relying only on a catalog model.

The preview is visual styling support, not a measurement tool or fit guarantee. BuyScout keeps that boundary clear and uses the product information supplied by Saini Style Hub when answering questions about available sizes, materials, colors, and garment details. Shoppers should still consult the merchant's sizing information when selecting a size.

Around the preview, BuyScout provides conversational guidance. It can help a shopper compare variants, think through the occasion, and discover complementary pieces based on the style they are building. It can also answer routine shipping, return, and product questions so the shopper does not have to move between pages while deciding.

Ce que gère l'agent

• Generates a try-on preview from the shopper's own photo
• Compares variants, colors, and silhouettes in conversation
• Suggests complementary pieces for the look being built
• Answers shipping, return, and product questions without a page change

Résultats

Conversion among shoppers who engaged with BuyScout increased by 19%. The add-to-cart rate among virtual try-on users rose by 27%, suggesting that a more personal visual reference helped shoppers move past the uncertainty that stalls many fashion purchases.

BuyScout-assisted orders also delivered a 13% increase in average order value as conversational styling helped shoppers find relevant additions to a complete look. These outcomes reflect stronger decision support, not a claim that the preview predicts garment fit.